Signal processing sequential processes

Floating Point. Integrated floating point units first arrived as separate coprocessors under the direct control of the microprocessor. However, these processors performed arithmetic with numerous sequential operations, resulting in performance too slow for real-time signal processing. 

Multiple-longitudinal-strip position-sensitive detectors are being replaced by double-sided strip detectors [359,428] in this application. These detectors have the potential for smaller detector pixels (higher granularity) and, consequentiy, a reduced random-correlation rate. Digital signal processing allows the observation of shorter sequential-decay intervals, down to 1 ps [429]. 

As one goes to higher orders, there are many other processes that can and do occur. Some are true fifth or seventh order processes and others are cascaded events arising from the sequential actions of lower order process [135]. Many of these cascaded sources of polarization interfere with the echo and quasi-echo signal and must be handled theoretically and experimentally. 

IHC stains as used for brightfield microscopy are sandwich procedures, consisting of sequential staining steps, each of which contributes amplification of the original signal. Specificity of the stain is provided by the primary antibody. The primary antibody also contributes to the sensitivity of the stain, but sensitivity is also the combination of each of the other steps of the stain protocol. It is critical that the steps used to amplify the signal in the stain process are not overdone, as these amplification steps can easily produce excess back-... 

Free fatty acid release during cerebral ischemia is a complex process that includes the activation of signaling cascades. In addition to cPLA2, these cascades probably involve the simultaneous and/or sequential activation of other phospholipid degradation pathways and the... 

Total or partial ion suppression is a well-known LC-MS effect, which is induced by coeluting matrix components that can have a dramatic effect on the intensity of the analyte signal. As can be observed in Fig. 1, analyte suppression occurs as a consequence of the different matrix interferences present in waste-water samples, making the identification and/or quantification process difficult or unfeasible. Even when working under selection ion monitoring (SIM) conditions, these matrix effects can cause ion suppression in the detection of some analytes that are present at low levels of concentration, as seen in this figure. Several papers have reported this effect [30-32] and different alternatives to overcome these problems, such as the inclusion of a size-exclusion step [33] or sequential SPE [28], have been applied for the determination of pesticides in... 

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